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Glossary

Key terms and definitions used throughout the platform and this documentation.

A – D

TermDefinition
AI-AutomatabilityThe degree to which a specific task within a job role can be performed by AI agents or automated systems. Measured per task, aggregated per role.
Career BandA broad grouping of job levels that share similar compensation ranges and career expectations. Also called career track. Example: Individual Contributor band, Management band, Executive band.
Career TrackA defined progression path within a career band. Dual-track systems separate Individual Contributor (IC) and Management tracks so specialists can advance without managing people.
Competency ClusterA grouping of related skills into a thematic bundle (e.g., "Technical Engineering," "Leadership & People Management," "Data & Analytics"). Used to simplify skill views and identify capability gaps at team or org level.
Diff HistoryA version-controlled record of every change made to a job role, level, or skill attachment. Shows exactly what changed, when, and by whom. Enables rollback to any previous version.

E – J

TermDefinition
Equal Pay CriteriaThe objective, gender-neutral factors used to determine whether two roles constitute "equal work" or "work of equal value" under pay transparency regulations. Core factors: skills, effort, responsibility, and working conditions (EU Directive 2023/970, Article 4).
Equal WorkWork that is the same or highly similar in content, tasks, and requirements. Under Article 6 of the EU Pay Transparency Directive, organizations must define and segregate equal work using objective criteria.
Gender-Neutral Job EvaluationAn analytical methodology for assessing job value that applies objective criteria equally regardless of gender. Required by EU Pay Transparency Directive Article 4. Examples: WTW Global Grading System, Korn Ferry Hay Method, gradar.
Grading FrameworkA systematic method for evaluating and ranking jobs based on their relative value to the organization. Assigns grades or points that determine pay bands. Major frameworks: WTW GGS, Korn Ferry Hay, gradar, Radford/Aon.
HRISHuman Resource Information System. The central system of record for employee and job data. Examples: SAP SuccessFactors, Workday, ServiceNow HR.
Job ArchitectureThe formal framework organizing all roles into a consistent hierarchy of families, clusters, roles, and levels. The structural foundation for compensation, career paths, talent mobility, and compliance.
Job ClusterA sub-grouping within a job family for finer functional distinction. Example: within the "Engineering" family, clusters might include "Software Engineering," "Data Engineering," and "Infrastructure Engineering."
Job FamilyThe broadest grouping of roles sharing similar competencies, knowledge domains, and functional purpose. Examples: Finance, Engineering, Human Resources, Sales.
Job LevelA tier within a job role hierarchy based on complexity, autonomy, responsibility, and impact. Defines seniority and typically maps to compensation bands. Example: Level 1 (Junior) through Level 6 (Director).
Job RoleThe smallest distinct unit in a job architecture. Defined by a unique code, title, general description, tasks, required skills, and evaluation criteria. Multiple employees may hold the same job role.

K – P

TermDefinition
Korn Ferry Hay MethodThe world's most widely used job evaluation methodology. Evaluates jobs on three factors: Know-How (inputs), Problem Solving (throughputs), and Accountability (outputs). Point-based, used by over 50% of the world's largest employers.
Pay BandThe salary range (minimum, midpoint, maximum) assigned to a specific job level or grade. Typically expressed as a percentage spread around the midpoint. Pay bands must be gender-neutral under EU Pay Transparency rules.
Pay TransparencyThe principle and regulatory requirement that organizations disclose pay-related information to workers and, in some jurisdictions, to the public. The EU Pay Transparency Directive (2023/970) is the most comprehensive framework, with transposition deadline 7 June 2026.
Proficiency LevelA scale measuring the depth of a skill. 5-point scale: 1 – Basic (awareness), 2 – Qualified (reliable application), 3 – Advanced (independent execution in complex situations), 4 – Professional (strategic problem-solving and optimization), 5 – Domain Expert (industry-leading thought leadership — typically not required for any role; exists for holistic span).

R – Z

TermDefinition
Risk CategoryA classification of the operational, compliance, safety, or financial risk associated with a job role. Used for compliance reporting and to weight roles in grading frameworks.
SkillA discrete, measurable capability that a person applies to perform tasks. In Cobrainer's taxonomy: a node in the Skills Graph, connected to roles, tasks, courses, and proficiency levels. Always referred to as "skill" in all languages (never translated).
Skills GraphCobrainer's patented knowledge graph containing 170,000+ skills and their relationships. Used to infer skill requirements, generate role profiles, map learning content, and assess AI-automatability.
Skills-Based OrganizationAn organization that structures talent processes around skills rather than job titles. Decisions about hiring, development, compensation, mobility, and workforce planning are based on objective skill data.
TaskA specific activity or responsibility performed within a job role. Tasks are the atomic unit of work — they map to skills (what capability is needed) and to AI-automatability (can this be done by an agent).
Version ControlThe system for tracking every change to job roles, levels, skills, and architecture elements over time. Every modification creates a new version with full diff history and rollback capability.
Work ModeThe location and collaboration model for a job role: on-site, hybrid, remote, or field-based. Increasingly relevant for job evaluation as working conditions factor into equal pay assessments.
WTW Global Grading System (GGS)Willis Towers Watson's job evaluation framework. Uses up to 25 grades across multiple career bands, assessed on 7 factors including knowledge, expertise, complexity, and impact. Supports AI-assisted job leveling.

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